{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}U:\u5390570\Hitler Youth Project\Main Data Analysis\Looking only at severe punishments.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}20 Nov 2017, 15:54:34

{com}. gen sev_pun=1 if worstpunishment>6
{err}variable {bf}sev_pun{sf} already defined
{txt}{search r(110), local:r(110);}

{com}. logit sev_pun monthshy catholic class hum_cap urban i.year, vce(cluster year)

{txt}note: 1928.year != 0 predicts failure perfectly
      1928.year dropped and 55 obs not used

note: 1929.year != 0 predicts failure perfectly
      1929.year dropped and 1 obs not used

note: 1930.year != 0 predicts failure perfectly
      1930.year dropped and 1 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3334.4678}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3147.5877}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3118.4935}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3117.6652}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3117.6493}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3117.6493}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    10,828
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(5)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-3117.6493{txt}{col 49}Pseudo R2{col 67}= {res}    0.0650

{txt}{ralign 78:(Std. Err. adjusted for {res:28} clusters in year)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     sev_pun{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}monthshy {c |}{col 14}{res}{space 2}-.0028226{col 26}{space 2} .0009009{col 37}{space 1}   -3.13{col 46}{space 3}0.002{col 54}{space 4}-.0045883{col 67}{space 3}-.0010569
{txt}{space 4}catholic {c |}{col 14}{res}{space 2}-.2301025{col 26}{space 2} .0663799{col 37}{space 1}   -3.47{col 46}{space 3}0.001{col 54}{space 4}-.3602047{col 67}{space 3}-.1000003
{txt}{space 7}class {c |}{col 14}{res}{space 2}-.1822532{col 26}{space 2} .0485265{col 37}{space 1}   -3.76{col 46}{space 3}0.000{col 54}{space 4}-.2773635{col 67}{space 3} -.087143
{txt}{space 5}hum_cap {c |}{col 14}{res}{space 2}-.1337151{col 26}{space 2}  .045528{col 37}{space 1}   -2.94{col 46}{space 3}0.003{col 54}{space 4}-.2229484{col 67}{space 3}-.0444818
{txt}{space 7}urban {c |}{col 14}{res}{space 2}  .479391{col 26}{space 2} .0841785{col 37}{space 1}    5.69{col 46}{space 3}0.000{col 54}{space 4} .3144043{col 67}{space 3} .6443778
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1901  {c |}{col 14}{res}{space 2}-1.640859{col 26}{space 2} .0144008{col 37}{space 1} -113.94{col 46}{space 3}0.000{col 54}{space 4}-1.669084{col 67}{space 3}-1.612634
{txt}{space 7}1902  {c |}{col 14}{res}{space 2}-.0427393{col 26}{space 2} .0098733{col 37}{space 1}   -4.33{col 46}{space 3}0.000{col 54}{space 4}-.0620905{col 67}{space 3} -.023388
{txt}{space 7}1903  {c |}{col 14}{res}{space 2}-.2140745{col 26}{space 2} .0090108{col 37}{space 1}  -23.76{col 46}{space 3}0.000{col 54}{space 4}-.2317353{col 67}{space 3}-.1964137
{txt}{space 7}1904  {c |}{col 14}{res}{space 2}-.3476923{col 26}{space 2} .0113511{col 37}{space 1}  -30.63{col 46}{space 3}0.000{col 54}{space 4}  -.36994{col 67}{space 3}-.3254446
{txt}{space 7}1905  {c |}{col 14}{res}{space 2}-.1759237{col 26}{space 2} .0109364{col 37}{space 1}  -16.09{col 46}{space 3}0.000{col 54}{space 4}-.1973586{col 67}{space 3}-.1544887
{txt}{space 7}1906  {c |}{col 14}{res}{space 2}  .478516{col 26}{space 2} .0133925{col 37}{space 1}   35.73{col 46}{space 3}0.000{col 54}{space 4} .4522672{col 67}{space 3} .5047648
{txt}{space 7}1907  {c |}{col 14}{res}{space 2} .2141684{col 26}{space 2} .0142963{col 37}{space 1}   14.98{col 46}{space 3}0.000{col 54}{space 4} .1861482{col 67}{space 3} .2421886
{txt}{space 7}1908  {c |}{col 14}{res}{space 2}  .715444{col 26}{space 2} .0158817{col 37}{space 1}   45.05{col 46}{space 3}0.000{col 54}{space 4} .6843164{col 67}{space 3} .7465717
{txt}{space 7}1909  {c |}{col 14}{res}{space 2} .4360902{col 26}{space 2} .0122121{col 37}{space 1}   35.71{col 46}{space 3}0.000{col 54}{space 4} .4121551{col 67}{space 3} .4600254
{txt}{space 7}1910  {c |}{col 14}{res}{space 2} .6279392{col 26}{space 2} .0152993{col 37}{space 1}   41.04{col 46}{space 3}0.000{col 54}{space 4}  .597953{col 67}{space 3} .6579253
{txt}{space 7}1911  {c |}{col 14}{res}{space 2} .9879314{col 26}{space 2} .0179271{col 37}{space 1}   55.11{col 46}{space 3}0.000{col 54}{space 4}  .952795{col 67}{space 3} 1.023068
{txt}{space 7}1912  {c |}{col 14}{res}{space 2} .8622819{col 26}{space 2} .0178336{col 37}{space 1}   48.35{col 46}{space 3}0.000{col 54}{space 4} .8273287{col 67}{space 3} .8972351
{txt}{space 7}1913  {c |}{col 14}{res}{space 2} 1.130254{col 26}{space 2} .0189762{col 37}{space 1}   59.56{col 46}{space 3}0.000{col 54}{space 4} 1.093061{col 67}{space 3} 1.167447
{txt}{space 7}1914  {c |}{col 14}{res}{space 2} 2.166213{col 26}{space 2} .0120072{col 37}{space 1}  180.41{col 46}{space 3}0.000{col 54}{space 4} 2.142679{col 67}{space 3} 2.189747
{txt}{space 7}1915  {c |}{col 14}{res}{space 2} 1.949894{col 26}{space 2} .0205568{col 37}{space 1}   94.85{col 46}{space 3}0.000{col 54}{space 4} 1.909603{col 67}{space 3} 1.990184
{txt}{space 7}1916  {c |}{col 14}{res}{space 2} 1.727874{col 26}{space 2}  .020635{col 37}{space 1}   83.74{col 46}{space 3}0.000{col 54}{space 4}  1.68743{col 67}{space 3} 1.768318
{txt}{space 7}1917  {c |}{col 14}{res}{space 2} 1.902893{col 26}{space 2} .0212928{col 37}{space 1}   89.37{col 46}{space 3}0.000{col 54}{space 4} 1.861159{col 67}{space 3} 1.944626
{txt}{space 7}1918  {c |}{col 14}{res}{space 2} 1.728761{col 26}{space 2} .0207313{col 37}{space 1}   83.39{col 46}{space 3}0.000{col 54}{space 4} 1.688129{col 67}{space 3} 1.769394
{txt}{space 7}1919  {c |}{col 14}{res}{space 2} 1.893724{col 26}{space 2} .0255893{col 37}{space 1}   74.00{col 46}{space 3}0.000{col 54}{space 4}  1.84357{col 67}{space 3} 1.943878
{txt}{space 7}1920  {c |}{col 14}{res}{space 2}  1.43597{col 26}{space 2}  .026287{col 37}{space 1}   54.63{col 46}{space 3}0.000{col 54}{space 4} 1.384449{col 67}{space 3} 1.487492
{txt}{space 7}1921  {c |}{col 14}{res}{space 2}  1.76822{col 26}{space 2} .0313684{col 37}{space 1}   56.37{col 46}{space 3}0.000{col 54}{space 4} 1.706739{col 67}{space 3} 1.829701
{txt}{space 7}1922  {c |}{col 14}{res}{space 2} 1.326586{col 26}{space 2} .0388911{col 37}{space 1}   34.11{col 46}{space 3}0.000{col 54}{space 4} 1.250361{col 67}{space 3} 1.402811
{txt}{space 7}1923  {c |}{col 14}{res}{space 2} 1.410093{col 26}{space 2} .0465445{col 37}{space 1}   30.30{col 46}{space 3}0.000{col 54}{space 4} 1.318867{col 67}{space 3} 1.501319
{txt}{space 7}1924  {c |}{col 14}{res}{space 2} 1.128389{col 26}{space 2}  .053077{col 37}{space 1}   21.26{col 46}{space 3}0.000{col 54}{space 4}  1.02436{col 67}{space 3} 1.232418
{txt}{space 7}1925  {c |}{col 14}{res}{space 2} .7468064{col 26}{space 2} .0552986{col 37}{space 1}   13.50{col 46}{space 3}0.000{col 54}{space 4} .6384231{col 67}{space 3} .8551897
{txt}{space 7}1926  {c |}{col 14}{res}{space 2} .4597888{col 26}{space 2} .0537153{col 37}{space 1}    8.56{col 46}{space 3}0.000{col 54}{space 4} .3545087{col 67}{space 3} .5650689
{txt}{space 7}1927  {c |}{col 14}{res}{space 2}-.9923955{col 26}{space 2} .0457861{col 37}{space 1}  -21.67{col 46}{space 3}0.000{col 54}{space 4}-1.082135{col 67}{space 3}-.9026564
{txt}{space 7}1928  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1929  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1930  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.789134{col 26}{space 2} .1230716{col 37}{space 1}  -22.66{col 46}{space 3}0.000{col 54}{space 4} -3.03035{col 67}{space 3}-2.547918
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit sev_pun monthshy catholic class hum_cap urban i.year i.division_id, vce(cluster division_id)

{txt}note: 1901.year != 0 predicts failure perfectly
      1901.year dropped and 16 obs not used

note: 1927.year != 0 predicts failure perfectly
      1927.year dropped and 7 obs not used

note: 14.division_id != 0 predicts failure perfectly
      14.division_id dropped and 5 obs not used

note: 22.division_id != 0 predicts failure perfectly
      22.division_id dropped and 15 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1312.7783}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1253.5327}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1247.2489}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1247.1067}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1247.1064}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1247.1064}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,583
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(14)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-1247.1064{txt}{col 49}Pseudo R2{col 67}= {res}    0.0500

{txt}{ralign 78:(Std. Err. adjusted for {res:16} clusters in division_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     sev_pun{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}monthshy {c |}{col 14}{res}{space 2}-.0051341{col 26}{space 2} .0024371{col 37}{space 1}   -2.11{col 46}{space 3}0.035{col 54}{space 4}-.0099107{col 67}{space 3}-.0003576
{txt}{space 4}catholic {c |}{col 14}{res}{space 2}-.1726376{col 26}{space 2} .1160554{col 37}{space 1}   -1.49{col 46}{space 3}0.137{col 54}{space 4} -.400102{col 67}{space 3} .0548267
{txt}{space 7}class {c |}{col 14}{res}{space 2}-.1262394{col 26}{space 2} .1067904{col 37}{space 1}   -1.18{col 46}{space 3}0.237{col 54}{space 4}-.3355447{col 67}{space 3} .0830659
{txt}{space 5}hum_cap {c |}{col 14}{res}{space 2}-.0610744{col 26}{space 2} .0666324{col 37}{space 1}   -0.92{col 46}{space 3}0.359{col 54}{space 4}-.1916714{col 67}{space 3} .0695226
{txt}{space 7}urban {c |}{col 14}{res}{space 2} .4389998{col 26}{space 2} .1648423{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4} .1159148{col 67}{space 3} .7620848
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1901  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1902  {c |}{col 14}{res}{space 2} .9705219{col 26}{space 2} 1.216562{col 37}{space 1}    0.80{col 46}{space 3}0.425{col 54}{space 4}-1.413896{col 67}{space 3}  3.35494
{txt}{space 7}1903  {c |}{col 14}{res}{space 2} .3879338{col 26}{space 2}  1.23865{col 37}{space 1}    0.31{col 46}{space 3}0.754{col 54}{space 4}-2.039776{col 67}{space 3} 2.815643
{txt}{space 7}1904  {c |}{col 14}{res}{space 2}-.1915105{col 26}{space 2} 1.163033{col 37}{space 1}   -0.16{col 46}{space 3}0.869{col 54}{space 4}-2.471013{col 67}{space 3} 2.087992
{txt}{space 7}1905  {c |}{col 14}{res}{space 2}   .34892{col 26}{space 2} 1.129262{col 37}{space 1}    0.31{col 46}{space 3}0.757{col 54}{space 4}-1.864393{col 67}{space 3} 2.562233
{txt}{space 7}1906  {c |}{col 14}{res}{space 2}-.0288344{col 26}{space 2}  1.01426{col 37}{space 1}   -0.03{col 46}{space 3}0.977{col 54}{space 4}-2.016748{col 67}{space 3} 1.959079
{txt}{space 7}1907  {c |}{col 14}{res}{space 2}-.5469518{col 26}{space 2} 1.168965{col 37}{space 1}   -0.47{col 46}{space 3}0.640{col 54}{space 4}-2.838081{col 67}{space 3} 1.744177
{txt}{space 7}1908  {c |}{col 14}{res}{space 2} .5375211{col 26}{space 2}  .814462{col 37}{space 1}    0.66{col 46}{space 3}0.509{col 54}{space 4}-1.058795{col 67}{space 3} 2.133837
{txt}{space 7}1909  {c |}{col 14}{res}{space 2} -.062233{col 26}{space 2} 1.030893{col 37}{space 1}   -0.06{col 46}{space 3}0.952{col 54}{space 4}-2.082746{col 67}{space 3}  1.95828
{txt}{space 7}1910  {c |}{col 14}{res}{space 2} .0576077{col 26}{space 2} 1.026034{col 37}{space 1}    0.06{col 46}{space 3}0.955{col 54}{space 4}-1.953382{col 67}{space 3} 2.068597
{txt}{space 7}1911  {c |}{col 14}{res}{space 2}  .633906{col 26}{space 2} 1.063941{col 37}{space 1}    0.60{col 46}{space 3}0.551{col 54}{space 4}-1.451379{col 67}{space 3} 2.719191
{txt}{space 7}1912  {c |}{col 14}{res}{space 2}-.0687329{col 26}{space 2} .9873721{col 37}{space 1}   -0.07{col 46}{space 3}0.945{col 54}{space 4}-2.003947{col 67}{space 3} 1.866481
{txt}{space 7}1913  {c |}{col 14}{res}{space 2} .1145625{col 26}{space 2} 1.206817{col 37}{space 1}    0.09{col 46}{space 3}0.924{col 54}{space 4}-2.250755{col 67}{space 3}  2.47988
{txt}{space 7}1914  {c |}{col 14}{res}{space 2} 1.204406{col 26}{space 2} 1.016942{col 37}{space 1}    1.18{col 46}{space 3}0.236{col 54}{space 4}-.7887627{col 67}{space 3} 3.197576
{txt}{space 7}1915  {c |}{col 14}{res}{space 2} 1.572715{col 26}{space 2} 1.023922{col 37}{space 1}    1.54{col 46}{space 3}0.125{col 54}{space 4}-.4341346{col 67}{space 3} 3.579564
{txt}{space 7}1916  {c |}{col 14}{res}{space 2} .8299129{col 26}{space 2} 1.052434{col 37}{space 1}    0.79{col 46}{space 3}0.430{col 54}{space 4} -1.23282{col 67}{space 3} 2.892646
{txt}{space 7}1917  {c |}{col 14}{res}{space 2} .8059504{col 26}{space 2} .9835621{col 37}{space 1}    0.82{col 46}{space 3}0.413{col 54}{space 4}-1.121796{col 67}{space 3} 2.733697
{txt}{space 7}1918  {c |}{col 14}{res}{space 2} 1.008226{col 26}{space 2} .9827344{col 37}{space 1}    1.03{col 46}{space 3}0.305{col 54}{space 4}-.9178983{col 67}{space 3}  2.93435
{txt}{space 7}1919  {c |}{col 14}{res}{space 2} 1.206827{col 26}{space 2} 1.022498{col 37}{space 1}    1.18{col 46}{space 3}0.238{col 54}{space 4}-.7972326{col 67}{space 3} 3.210887
{txt}{space 7}1920  {c |}{col 14}{res}{space 2} .9633616{col 26}{space 2} 1.044604{col 37}{space 1}    0.92{col 46}{space 3}0.356{col 54}{space 4}-1.084025{col 67}{space 3} 3.010748
{txt}{space 7}1921  {c |}{col 14}{res}{space 2} 1.036634{col 26}{space 2} .9555986{col 37}{space 1}    1.08{col 46}{space 3}0.278{col 54}{space 4}-.8363045{col 67}{space 3} 2.909573
{txt}{space 7}1922  {c |}{col 14}{res}{space 2} .9585307{col 26}{space 2} 1.069083{col 37}{space 1}    0.90{col 46}{space 3}0.370{col 54}{space 4}-1.136834{col 67}{space 3} 3.053895
{txt}{space 7}1923  {c |}{col 14}{res}{space 2} 1.180202{col 26}{space 2} 1.015513{col 37}{space 1}    1.16{col 46}{space 3}0.245{col 54}{space 4} -.810166{col 67}{space 3}  3.17057
{txt}{space 7}1924  {c |}{col 14}{res}{space 2}  .708195{col 26}{space 2} .9569532{col 37}{space 1}    0.74{col 46}{space 3}0.459{col 54}{space 4}-1.167399{col 67}{space 3} 2.583789
{txt}{space 7}1925  {c |}{col 14}{res}{space 2} .8922603{col 26}{space 2} .9793149{col 37}{space 1}    0.91{col 46}{space 3}0.362{col 54}{space 4}-1.027162{col 67}{space 3} 2.811682
{txt}{space 7}1926  {c |}{col 14}{res}{space 2} .5062511{col 26}{space 2} 1.301378{col 37}{space 1}    0.39{col 46}{space 3}0.697{col 54}{space 4}-2.044402{col 67}{space 3} 3.056904
{txt}{space 7}1927  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 12} {c |}
{space 1}division_id {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0792466{col 26}{space 2} .0471929{col 37}{space 1}   -1.68{col 46}{space 3}0.093{col 54}{space 4}-.1717431{col 67}{space 3} .0132498
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3548837{col 26}{space 2} .0453564{col 37}{space 1}   -7.82{col 46}{space 3}0.000{col 54}{space 4}-.4437807{col 67}{space 3}-.2659867
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.5536172{col 26}{space 2} .0534494{col 37}{space 1}  -10.36{col 46}{space 3}0.000{col 54}{space 4}-.6583761{col 67}{space 3}-.4488583
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .2578719{col 26}{space 2}  .034025{col 37}{space 1}    7.58{col 46}{space 3}0.000{col 54}{space 4} .1911841{col 67}{space 3} .3245597
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.4423586{col 26}{space 2} .0776407{col 37}{space 1}   -5.70{col 46}{space 3}0.000{col 54}{space 4}-.5945316{col 67}{space 3}-.2901856
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .6081398{col 26}{space 2} .0533901{col 37}{space 1}   11.39{col 46}{space 3}0.000{col 54}{space 4} .5034971{col 67}{space 3} .7127824
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-1.756924{col 26}{space 2} .1034159{col 37}{space 1}  -16.99{col 46}{space 3}0.000{col 54}{space 4}-1.959615{col 67}{space 3}-1.554232
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-1.612928{col 26}{space 2} .0863354{col 37}{space 1}  -18.68{col 46}{space 3}0.000{col 54}{space 4}-1.782143{col 67}{space 3}-1.443714
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.3592321{col 26}{space 2} .0724289{col 37}{space 1}   -4.96{col 46}{space 3}0.000{col 54}{space 4}-.5011901{col 67}{space 3}-.2172741
{txt}{space 9}14  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}15  {c |}{col 14}{res}{space 2}-.1314678{col 26}{space 2} .0296237{col 37}{space 1}   -4.44{col 46}{space 3}0.000{col 54}{space 4}-.1895292{col 67}{space 3}-.0734063
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.2328147{col 26}{space 2} .0685617{col 37}{space 1}   -3.40{col 46}{space 3}0.001{col 54}{space 4}-.3671932{col 67}{space 3}-.0984363
{txt}{space 9}17  {c |}{col 14}{res}{space 2}-.1448735{col 26}{space 2} .0677634{col 37}{space 1}   -2.14{col 46}{space 3}0.033{col 54}{space 4}-.2776873{col 67}{space 3}-.0120597
{txt}{space 9}18  {c |}{col 14}{res}{space 2} .0901045{col 26}{space 2} .0442727{col 37}{space 1}    2.04{col 46}{space 3}0.042{col 54}{space 4} .0033316{col 67}{space 3} .1768773
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.3232938{col 26}{space 2} .1050908{col 37}{space 1}   -3.08{col 46}{space 3}0.002{col 54}{space 4}-.5292681{col 67}{space 3}-.1173195
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.2344203{col 26}{space 2} .0623496{col 37}{space 1}   -3.76{col 46}{space 3}0.000{col 54}{space 4}-.3566233{col 67}{space 3}-.1122172
{txt}{space 9}22  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.120834{col 26}{space 2} .9921821{col 37}{space 1}   -2.14{col 46}{space 3}0.033{col 54}{space 4}-4.065475{col 67}{space 3}-.1761924
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit sev_pun yhat i.division_id, vce(cluster division_id)

{txt}note: 14.division_id != 0 predicts failure perfectly
      14.division_id dropped and 5 obs not used

note: 22.division_id != 0 predicts failure perfectly
      22.division_id dropped and 15 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1326.3673}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1300.2787}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1297.3455}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1297.2607}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1297.2607}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,627
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(2)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-1297.2607{txt}{col 49}Pseudo R2{col 67}= {res}    0.0219

{txt}{ralign 78:(Std. Err. adjusted for {res:16} clusters in division_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     sev_pun{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}yhat {c |}{col 14}{res}{space 2} .0032756{col 26}{space 2} .0028568{col 37}{space 1}    1.15{col 46}{space 3}0.252{col 54}{space 4}-.0023237{col 67}{space 3} .0088749
{txt}{space 12} {c |}
{space 1}division_id {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0744782{col 26}{space 2} .0332408{col 37}{space 1}    2.24{col 46}{space 3}0.025{col 54}{space 4} .0093275{col 67}{space 3}  .139629
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2334708{col 26}{space 2} .0244339{col 37}{space 1}   -9.56{col 46}{space 3}0.000{col 54}{space 4}-.2813604{col 67}{space 3}-.1855812
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.5431118{col 26}{space 2} .0209484{col 37}{space 1}  -25.93{col 46}{space 3}0.000{col 54}{space 4}  -.58417{col 67}{space 3}-.5020536
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .2893377{col 26}{space 2}  .014829{col 37}{space 1}   19.51{col 46}{space 3}0.000{col 54}{space 4} .2602734{col 67}{space 3}  .318402
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.7442641{col 26}{space 2} .0375526{col 37}{space 1}  -19.82{col 46}{space 3}0.000{col 54}{space 4}-.8178659{col 67}{space 3}-.6706623
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .6355054{col 26}{space 2} .0120295{col 37}{space 1}   52.83{col 46}{space 3}0.000{col 54}{space 4} .6119279{col 67}{space 3} .6590828
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-2.111986{col 26}{space 2} .0391547{col 37}{space 1}  -53.94{col 46}{space 3}0.000{col 54}{space 4}-2.188728{col 67}{space 3}-2.035244
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-1.822822{col 26}{space 2} .0670326{col 37}{space 1}  -27.19{col 46}{space 3}0.000{col 54}{space 4}-1.954204{col 67}{space 3} -1.69144
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.2933815{col 26}{space 2} .0557485{col 37}{space 1}   -5.26{col 46}{space 3}0.000{col 54}{space 4}-.4026466{col 67}{space 3}-.1841164
{txt}{space 9}14  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}15  {c |}{col 14}{res}{space 2}-.0778933{col 26}{space 2}  .006316{col 37}{space 1}  -12.33{col 46}{space 3}0.000{col 54}{space 4}-.0902725{col 67}{space 3}-.0655142
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.4334964{col 26}{space 2} .0153439{col 37}{space 1}  -28.25{col 46}{space 3}0.000{col 54}{space 4}  -.46357{col 67}{space 3}-.4034229
{txt}{space 9}17  {c |}{col 14}{res}{space 2} -.160763{col 26}{space 2} .0164883{col 37}{space 1}   -9.75{col 46}{space 3}0.000{col 54}{space 4}-.1930795{col 67}{space 3}-.1284465
{txt}{space 9}18  {c |}{col 14}{res}{space 2} .1145167{col 26}{space 2} .0042914{col 37}{space 1}   26.69{col 46}{space 3}0.000{col 54}{space 4} .1061057{col 67}{space 3} .1229277
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.4578591{col 26}{space 2} .0254546{col 37}{space 1}  -17.99{col 46}{space 3}0.000{col 54}{space 4}-.5077492{col 67}{space 3} -.407969
{txt}{space 9}20  {c |}{col 14}{res}{space 2} -.261433{col 26}{space 2} .0162886{col 37}{space 1}  -16.05{col 46}{space 3}0.000{col 54}{space 4}-.2933581{col 67}{space 3}-.2295079
{txt}{space 9}22  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-1.894067{col 26}{space 2}  .052408{col 37}{space 1}  -36.14{col 46}{space 3}0.000{col 54}{space 4}-1.996785{col 67}{space 3} -1.79135
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}U:\u5390570\Hitler Youth Project\Main Data Analysis\Looking only at severe punishments.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}20 Nov 2017, 15:54:59
{txt}{.-}
{smcl}
{txt}{sf}{ul off}